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Huang, H., Wei, Z. and Yao, S. (2007) The Proof of the Sufficient Descent Condition of the Wei-Yao-Liu Conjugate Gradient Method under the Strong Wolfe-Powell Line Search. Applied Mathematics and Computation, 189, 1241- 1245.
http://dx.doi.org/10.1016/j.amc.2006.12.006

被以下文章引用:

• 标题: 一种新的共轭梯度法A New Conjugate Gradient Method

  作者: 黎勇, 袁功林

  关键字: 无约束优化, 共轭梯度法, 全局收敛性Unconstrained Optimization, Conjugate Gradient Method, Global Convergence

  期刊名称: 《Advances in Applied Mathematics》, Vol.5 No.4, 2016-11-18

  摘要: 本文设计了一个新的参数公式，在适当条件下，建立在此参数公式上的共轭梯度算法在WWP线搜索下全局收敛。初步的数值实验结果表明新算法是有效的。 This paper has designed a new parameter formula. The conjugate gradient algorithm which based on the parameter formula is global convergence with WWP line search under appropriate condi-tions. Preliminary numerical results turn out that this new method is effective.